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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
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    Explanations

    the word "special."

    oai_token-act-pair · gpt-3.5-turbo

    expressions of significance or uniqueness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •Special

    No Comments

    Negative Logits
     Ri
    -0.73
    amus
    -0.70
     Couch
    -0.69
    arer
    -0.66
    ullivan
    -0.65
    igate
    -0.65
     Twain
    -0.63
     McCabe
    -0.61
    bare
    -0.61
    absolute
    -0.61
    POSITIVE LOGITS
    ties
    1.25
    ised
    1.19
    izations
    1.10
    isations
    1.06
    ized
    1.03
    ity
    0.98
    ities
    0.92
    ty
    0.90
    izes
    0.89
    isable
    0.89
    Activations Density 0.022%

    No Known Activations